# encoding:utf-8
#
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from npu_bridge.npu_init import *
from .config import cfg
from ..utils.cython_nms import nms as cython_nms

try:
    from lib.utils.gpu_nms import gpu_nms
except:
    gpu_nms = cython_nms
pass


def nms(dets, thresh):
    if dets.shape[0] == 0:
        return []
    if cfg.USE_GPU_NMS:
        try:
            return gpu_nms(dets, thresh, device_id=cfg.GPU_ID)
        except:
            return cython_nms(dets, thresh)
    else:
        return cython_nms(dets, thresh)
